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2020 – today
- 2022
[j1]Alexandra-Ioana Albu, Gabriela Czibula
, Andrei Mihai, István Gergely Czibula, Sorin Burcea, Abdelkader Mezghani:
NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes. Remote. Sens. 14(16): 3890 (2022)- 2020
- [c7]Gabriela Czibula, Andrei Mihai, István Gergely Czibula:
RadRAR: A relational association rule mining approach for nowcasting based on predicting radar products' values. KES 2020: 300-309 - [c6]Andrei Mihai:
Using self-organizing maps as unsupervised learning models for meteorological data mining. SACI 2020: 23-28 - [c5]Ioana Angela Socaci, Gabriela Czibula, Vlad-Sebastian Ionescu, Andrei Mihai:
XNow: A deep learning technique for nowcasting based on radar products' values prediction. SACI 2020: 117-122
2010 – 2019
- 2019
- [c4]Andrei Mihai, Gabriela Czibula, Eugen Mihulet:
Analyzing Meteorological Data Using Unsupervised Learning Techniques. ICCP 2019: 529-536 - [c3]Gabriela Czibula, Andrei Mihai, Liana Maria Crivei:
S PRAR: A novel relational association rule mining classification model applied for academic performance prediction. KES 2019: 20-29 - [c2]Gabriela Czibula, Andrei Mihai, Eugen Mihulet, Daniel Teodorovici:
Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes. KES 2019: 48-57 - [c1]Liana Maria Crivei, Gabriela Czibula, Andrei Mihai:
A Study on Applying Relational Association Rule Mining Based Classification for Predicting the Academic Performance of Students. KSEM (1) 2019: 287-300 - 2016
- [i1]Andrei Polzounov, Ilmira Terpugova, Deividas Skiparis, Andrei Mihai:
Right whale recognition using convolutional neural networks. CoRR abs/1604.05605 (2016)
Coauthor Index
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